Handbook of logic in artificial intelligence and logic programming (vol. 3)
Machine Learning
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
Rule-based Classification Procedures Related to the Unprecisely Formulated Expert Rules
SIBGRAPHI '98 Proceedings of the International Symposium on Computer Graphics, Image Processing, and Vision
Reasoning about Uncertainty
Fusion of rule-based and sample-based classifiers: probabilistic approach
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Combining rule-based and sample-based classifiers – probabilistic approach
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Combining classifiers under probabilistic models: experimental comparative analysis of methods
Expert Systems: The Journal of Knowledge Engineering
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The present paper is devoted to the pattern recognition procedure based on the set of expert rules with unprecisely formulated weights understood as appropriate probabilities. Adopting the probabilistic model the different interpretations of rule weight are discussed and the consistency conditions of set of rules are given.